DocumentCode
1932635
Title
Edge Detection Based on Attention Mechanism of Vision Perception
Author
Yu Jiangbo ; Chen Houjin ; Wang Wei
Author_Institution
Inst. of Electron. & Inf. Eng., Beijing Jiatong Univ.
Volume
1
fYear
2006
fDate
16-20 Nov. 2006
Abstract
Image edge detection plays an important role in many different fields. Success in various visual tasks depends heavily on correct extraction of the low-level feature of images. Despite many approach in this aspect has been developed, the problem is largely unsolved, i.e, the difficulty to observe many weak edges in a noisy image that can be easily perceived by human beings. In order to better solve this problem, one new edge detection method based on attention mechanism of vision neural perception is presented, and it is more effective in edge detection and object recognition than other traditional methods
Keywords
computer vision; edge detection; object detection; attention mechanism; image edge detection; image low-level feature; object recognition; vision neural perception; Computer vision; Data mining; Humans; Image edge detection; Image processing; Information analysis; Layout; Machine vision; Object recognition; Visual perception;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.345543
Filename
4128958
Link To Document